© 2018

Mathematical Modeling of Social Relationships

What Mathematics Can Tell Us About People

  • Urszula Strawinska-Zanko
  • Larry S. Liebovitch


  • Features state-of-the-art applied quantitative methods to analyze and model social science systems

  • Applies such methods to a wide range of case studies in social science showing what can be learned from these new mathematical models

  • Includes a helpful study guide and carefully selected recommendations for further exploration of the topics, inclusive of readings and scholarly internet resources


Part of the Computational Social Sciences book series (CSS)

Table of contents

  1. Front Matter
    Pages i-x
  2. Urszula Strawinska-Zanko, Larry S. Liebovitch
    Pages 1-15
  3. John M. Gottman, Paul R. Peluso
    Pages 17-29
  4. Paul R. Peluso, Patricia Diaz, Gabriella Tabib
    Pages 31-50
  5. Paul R. Peluso, Andrew Z. Baker, Ashley Sauer, Jennifer P. Peluso
    Pages 51-68
  6. Urszula Strawinska-Zanko, Larry S. Liebovitch, Paul R. Peluso
    Pages 69-88
  7. (Rae) Yunzi Tan, Jay L. Michaels, Urszula Strawinska-Zanko
    Pages 119-146
  8. Larry S. Liebovitch, Peter T. Coleman, David Futran, Devin Lee, Tamar Lichter, Nicholas Burgess et al.
    Pages 147-159
  9. Urszula Strawinska-Zanko, Larry S. Liebovitch, April Watson, Clifford T. Brown
    Pages 161-192
  10. Celine C. Ripla, Larry S. Liebovitch
    Pages 193-211
  11. Larry S. Liebovitch, Urszula Strawinska-Zanko
    Pages 213-217
  12. Back Matter
    Pages 219-222

About this book


This edited volume presents examples of social science research projects that employ new methods of quantitative analysis and mathematical modeling of social processes. This book presents the fascinating areas of empirical and theoretical investigations that use formal mathematics in a way that is accessible for individuals lacking extensive expertise but still desiring to expand their scope of research methodology and add to their data analysis toolbox.

Mathematical Modeling of Social Relationships professes how mathematical modeling can help us understand the fundamental, compelling, and yet sometimes complicated concepts that arise in the social sciences. This volume will appeal to upper-level students and researchers in a broad area of fields within the social sciences, as well as the disciplines of social psychology, complex systems, and applied mathematics.


quantitative social science research mathematical modeling in social sciences dynamical approaches to conflict mathematics of marriage modeling psychotherapy encounters

Editors and affiliations

  • Urszula Strawinska-Zanko
    • 1
  • Larry S. Liebovitch
    • 2
  1. 1.Department of Conflict Resolution StudiesCollege of Arts, Humanities, and Social Sciences, Nova Southeastern UniversityFort LauderdaleUSA
  2. 2.Departments of Physics and PsychologyQueens College, City University of New YorkFlushingUSA

About the editors

Urszula Strawinska-Zanko is an Assistant Professor at the Department of Conflict Resolution Studies at Nova Southeastern University, Fort Lauderdale, Florida.

Larry Liebovitch is a Professor at the Physics and Psychology Departments at Queens College and the Physics Program at The Graduate Center, City University of New York, and an Adjunct Senior Research Scholar at the Advanced Consortium for Cooperation, Conflict, and Complexity (AC4) at The Earth Institute at Columbia University in the City of New York. He is a former Springer author and boardmember of Springer's Computational Social Science series.

Bibliographic information

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